M. Ebadi and Mahsa Eghbali
BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS THE COMPARISON OF ISSR AND RAPD MARKERS WITH DIFFERENT SPECIES OF
TRITICUM
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considered to be 5`C higher than the real connection
temperature, and 0.5`C was decreased from the connec-
tion temperature to achieve the real connection temper-
ature). This action allows to decrease similar bands of
micro-satellites causing some problems in scoring the
PCR typical cycles. It is suggested to apply 30 cycles
containing 30 seconds of denaturation in 94`C to each
starter in 45 seconds (to connect starters), and 2 minutes
in 72`C to extend, and the last extension was carried out
in 72`C for 7 minutes.
DATA ANALYSIS
The applied markers in this study are of dominated
markers which are scored in interpreting gel as 1(indi-
cating to the presence) or 0 (indicating to the lack).
CLUSTERING ANALYSIS
According to raw data obtained from ISSR and RADP
molecular markers, the clustering analysis was accom-
plished by UPGMA method and applying the jaccard
similarity coef cient to determine similarity between
two individuals, Darwin 6 and Post 3 software.
THE ANALYSIS TO BASIC COMPONENTS
The analysis to basic components is another multi-vari-
ant method which is of high application in genetic vari-
ety analysis with clustering analysis. This method can
be applied to present two-dimensional distribution of
individuals in a eld of plot signifying genetic similarity
among them. PCA is a method to decrease data to con-
struct relationships between two or more variants and
to explain the changes of whole basic and primary data
by some new independent variants called basic compo-
nents.To decrease data is accomplished by linear chang-
ing of basic data to new independent variants called
basic components, so that the rst PC explains the max-
imum initial data, and the second PC explains remained
changes after the rst PC, etc. it should be noted that
each PC explains those changes not been explained by
other PCs.
As PCs are independent, each one presents differ-
ent properties of basic data, and they should be inter-
fered differently from each other. When PCA is applied
to analyze molecular data, similarity matrix should be
changed via the following formula to remove negative
inert roots:
ij=Sij-Sio-Soj+SooóS
in which, Sij represents similarity coef cient between
I,j individuals, Sio shows the average of similarity coef-
cient in n
th
individuals, Soj shows the average of simi-
larity coef cients of j
th
individual, and Soo is the total
average of similarity coef cients. This changing causes
to move similarity matrix to zero root. These similarity
properties calculated by any method will be kept.
RESULTS AND DISCUSSION
A study accomplished by Aslani (2013) on the genetic
variety of molecular genotype of Mirabilis jalapa by
applying ISSR marker showed that ISSR does not need
radioactive materials and pattern DNA sequence. There-
fore, ISSR was a good marker to consider genetic vari-
ety and relationship which was coincide with our results
(Aslani,2013).
A study accomplished by Heidari Nejad on the
genetic variety of African Violets varieties by apply-
ing RAPD marker signi ed that morphologic properties
are in uence by various factors with no effect on DNA.
These factors which are similar in DNA based on the
data, are similar to or different from each other in mor-
phologic properties. Therefore, it is expected that RAPD
data may have no similarity with individual grouping
in planting and morphological properties by consider-
ing the effectiveness of environmental factors on these
properties.
This result has been reported by Martinz-Gumz et al.
(2003) on almond. Therefore, considering individuals
based on planting and morphological properties can`t
result in favorable results (Heidari Nejad, 2012).
Stephonova et al. (2014) accomplished a study on
genetic variety of 16 species of Amaranthus of Cary-
ophyllales family by applying molecular ISSR marker.
Amaranth is a most important species existing in all
around the world. In this study, ISSR method was applied
to analyze variety in and among 16 species of amaranth.
Eleven primaries were applied in this study. The den-
drogram divided 16 varieties into 3 groups in which 2
groups belong to India and one group is belonged to
Nepal. The similarity average was 0.154-1.000. This
study indicated that ISSR is of high ef ciency (Stepho-
nova et al. 2014).
In a study accomplished by Ray et al. (2007) on the
genetic relationships of Aramanthus which is belonged
to Caryophyllales by applying molecular ISSR and
RAPD markers, it was used from 18 starters and to ISSR
marker and 15 starter to RAPD. The similarity coef cient
of ISSR and RAPD markers were 0.45 and 0.47; respec-
tively. Also, Cophenetic coef cient of both markers was
0.83. These coef cients refer to a good tting between
similar matrix and dendrogram, and both dendrograms
showed a good similarity between species indicating
that ISSR and RAPD markers are of high suf ciency to
determine genetic relationships, and they are suitable
tools to cluster species (Ray et al. 2007).